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Hinds AM, Bechtel B, Distasio J, et al. Health and social predictors of applications to public housing: a population-based analysis. J Epidemiol Community Health. 2016;70(12):1229-1235doi: 10.1136/jech-2015-206845.
Hinds, A. M., Bechtel, B., Distasio, J., Roos, L. L., & Lix, L. M. (2016). Health and social predictors of applications to public housing: a population-based analysis. Journal of epidemiology and community health, 70(12), 1229-1235. https://doi.org/10.1136/jech-2015-206845
Hinds, Aynslie M, et al. "Health and social predictors of applications to public housing: a population-based analysis." Journal of epidemiology and community health vol. 70,12 (2016): 1229-1235. doi: https://doi.org/10.1136/jech-2015-206845
Hinds AM, Bechtel B, Distasio J, Roos LL, Lix LM. Health and social predictors of applications to public housing: a population-based analysis. J Epidemiol Community Health. 2016 Dec;70(12):1229-1235. doi: 10.1136/jech-2015-206845. Epub 2016 May 25. PMID: 27225679.
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J Epidemiol Community Health. 2016 Dec;70(12):1229-1235. doi: 10.1136/jech-2015-206845. Epub 2016 May 25.

Health and social predictors of applications to public housing: a population-based analysis.

Journal of epidemiology and community health

Aynslie M Hinds, Brian Bechtel, Jino Distasio, Leslie L Roos, Lisa M Lix

Affiliations

  1. Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
  2. Program Policy Integration, Interagency Council on Homelessness, Family Violence Prevention and Homeless Supports, Alberta Human Services, Edmonton, Alberta, Canada.
  3. University of Winnipeg, Winnipeg, Manitoba, Canada.

PMID: 27225679 DOI: 10.1136/jech-2015-206845

Abstract

BACKGROUND: Residents of public housing are often in poor health. However, it is unclear whether poor health precedes residency in public housing. We compared the health of people who applied to public housing to people who did not apply and had similar socioeconomic characteristics.

METHODS: Population-based administrative databases from Manitoba, Canada, containing health, housing and income assistance information were used to identify a cohort of individuals who applied to public housing and a matched cohort from the general population. Conditional logistic regression was used to test the association between a public housing application and health status and health service use, after controlling for income.

RESULTS: There were 10 324 individuals in each of the public housing applicant and matched cohorts; the majority were women, young, urban residents, and received income assistance. A higher per cent of the public housing cohort had physician-diagnosed physical and mental health conditions compared to the matched cohort. Physical health, mental health and health service use were significantly associated with applying to public housing, after controlling for individual and area-level income.

CONCLUSIONS: Applicants to public housing were in poorer health compared to people of the same income level who did not apply to public housing. These health issues may affect the long-term stability of their tenancy if appropriate services and supports are not provided. Additionally, preventing ill health, better management of mental health and additional supports may reduce the need for public housing, which, in turn, would alleviate the pressure on governments to provide this form of housing.

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Keywords: HEALTH STATUS; HOUSING; RECORD LINKAGE

Conflict of interest statement

Competing interests: None declared.

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